R RKEA-带有类标签的训练实例不足(必需的: 1,提供了: 0)!

我正在尝试让RKEA在R Studio中工作。这是我当前的代码:

#Imports packages
library(RKEA)
library(tm)

#Creates a corpus of training sentences
data <- c("This is a sentence",
          "I am in an office",
          "I'm working on a laptop",
          "I have a glass of water",
          "There is a wooden desk",
          "I have an apple for lunch")
data <- as.data.frame(data)
data <- Corpus(VectorSource(data$data))

#Creates a corpus of training keywords
keywords <- c("sentence",
              "office",
              "working",
              "glass",
              "wooden",
              "apple")
keywords <- as.data.frame(keywords)
keywords <- Corpus(VectorSource(keywords$keywords))

#Creates output file for created model
tmpdir <- tempfile()
dir.create(tmpdir)
model <- file.path(tmpdir, "MyModel")

#Creates RKEA model
createModel(data, keywords, model)

这主要是根据RKEA文档中给出的示例进行建模的。但是，当我运行此命令时，出现以下错误消息:

Error in .jcall(km, "V", "saveModel") :
  weka.core.WekaException: weka.classifiers.bayes.NaiveBayesSimple: Not enough training instances with class labels (required: 1, provided: 0)!

最佳答案

我认为您的例句作为文档太短了。以下修改(主要是对第一个示例文档)的修改没有错误:

data <- c("This is a longer and longer sentence.",
      "I am in an office.",
      "I'm working on a laptop.",
      "I have a glass of water.",
      "There is a wooden desk.",
      "I have an apple for lunch.")

我的猜测是，在句子很短的情况下，没有足够多的词不是构建模型所用的关键词。

关于R RKEA-带有类标签的训练实例不足(必需的: 1,提供了: 0)!，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/46792053/